In this mini lesson, students use in-water profiles of historical ocean data to analyze how sea surface salinity varies with depth. 

Students will use coloring sheets to create a color coded model of El Niño and analyze it. If the Data Literacy Map Cube is used with this, students will color their models first.

This NASA visualization shows sea surface salinity observations (September 2011-September 2014). Students review the video and answer questions.

Hands-on demonstration of the El Niño Effect, trade winds, and upwelling provided by NASA's Jet Propulsion Lab.

In this activity, students will analyze a NASA sea surface height model of El Niño for December 27, 2015, and answer questions. Then they will be instructed to create a model of their own made from pudding to reflect the layers of El Niño.

Many of our archived lessons date back to as early as 2004 when our learning community first formed and unfortunately contain links to content that is no longer updated or exist.  Please note that some of these have been updated, and we continue to update them.  Please check ou

Students develop and test a hypothesis about how albedo affects temperature.

Students analyze two North Pole orthographic data visualizations produced from soil moisture data. After describing trends in the seasonal thaw of land surfaces, students demonstrate their understanding of Earth’s energy budget by explaining relationships and make predictions about the dataset.

In this mini-lesson, students analyze soil moisture quantities associated with Hurricane Harvey around Houston, Texas on August 25, 2017.

Students review Earth System phenomena that are affected by soil moisture.  They analyze and evaluate maps of seasonal global surface air temperature and soil moisture data from NASA satellites. Building from their observations, students will select a location in the U.S.